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Landslide susceptibility assessment of Uttarakhand area of India has been done by applying five machine learning methods namely Support Vector Machines (SVM), Logistic Regression (LR), Fisher's Linear Discriminant Analysis (FLDA), Bayesian Network (BN), and Naïve Bayes (NB). Performance of these methods has been evaluated using the ROC curve and statistical index based methods. Analysis and comparison...
In this paper, we present a novel classifier ensemble method, namely Rotation Forest fuzzy rule-based Classifier Ensemble (RFCE), for spatial prediction of landslides. An area located in the Uttarakhand State in India has been taken as a case study. RFCE is a hybrid method of rotation forest ensemble and fuzzy unordered rules induction algorithm classifier. Both are the current state-of-the-art techniques...
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